Biblioteca Digital de VanguardiaPrevisão de escorregamentos no município de Maceió (AL) a partir do modelo AHP
The prediction of landslides is very relevant for territorial planning, as it indicates the places most likely to be affected by these processes. Thus, the objective of this work is to assess the susceptibility to landslides on the north coast of Maceió, Northeast Brazil, using the AHP model (Analyt...
| Autores principales: | , , , |
|---|---|
| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Portugués |
| Publicado: |
Universidade de São Paulo. Faculdade de Filosofia, Letras e Ciências Humanas
2020
|
| Materias: | |
| Acceso en línea: | https://www.revistas.usp.br/rdg/article/view/161388 http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/42350 |
| Sumario: | The prediction of landslides is very relevant for territorial planning, as it indicates the places most likely to be affected by these processes. Thus, the objective of this work is to assess the susceptibility to landslides on the north coast of Maceió, Northeast Brazil, using the AHP model (Analytic Hierarchy Process) in a GIS environment (Geographic Information Systems). In the hierarchy of the model, parameters related to geology, geomorphology, soils, slope and slope shape were used. Spatial analysis was performed using multicriteria methods and map algebra with the weighting of variables via AHP. For the validation of the results, an inventory map with 29 landslide scars mapped from the year 2017 was used. The results showed that the susceptibility map had a predominance of the average susceptibility class, that is, with medium potential for the occurrence of landslides. In this sense, the classes of low, medium and high susceptibility, presented, respectively, a frequency of 26%, 64% and 10%. When validating the results, 69% of the slip scars were concentrated in the high susceptibility class; 30% in the medium susceptibility class and only 1% in the low susceptibility class, indicating success in the forecast made. The mappings indicate that the places most susceptible to landslides are located in the slope areas, especially when correlated with the strong influence of the slope and the concave patterns of the terrain. |
|---|